Hadoop Big Data Analytics Market By Component (solutions, Services); By Deployment Mode (Cloud, On-premises); By Organization Size (Large Enterprises, Small and Medium-sized Enterprises(SMEs)); By Business Function (Marketing and Sales, Operations, Finance, Human Resources); By Vertical (BFSI, Transportation and Logistics, Retail and eCommerce, Manufacturing, Telecommunications and IT, Healthcare and Life Sciences, Government and Public Sector, Media and Entertainment, Travel and HospitalityEnergy and Utilities, Education and Research); By Application (Risk & Fraud Analytics, Internet of Things (IoT), Customer Analytics, Security Intelligence, Distributed Coordination Service, Merchandising & Supply Chain Analytics, Offloading Mainframe Application, Operational Intelligence, Linguistic Analytics); By Region (North America, Europe, Asia Pacific, Latin America, Middle East & Africa) - Global Market Analysis, Trends, Opportunity and Forecast, 2022-2032

Hadoop Big Data Analytics Market Overview

The global hadoop big data analytics market size was valued at around USD 9.3 billion in 2022 and is projected to grow at a compound annual rate of growth (CAGR) of around 24.4% from 2022 to 2032.The market size is projected to succeed in USD 82.5 billion by 2032.

Hadoop is an open-source software framework for storing and analyzing big data which uses simple programming models across distributed clusters of various hardware platforms.

Big data is a massive volume of information which can be unstructured as well as structured. Due to the massive volume of such information, it cannot be stored and processed by traditional systems. Big data analytics is typically an advanced method of examining these large volumes of information and data to reveal various insights for making real-time corporate level decisions.

Hadoop provides several benefits for big data analytics including reliability, high scalability, cost effectiveness, flexibility, resilience to failure, enormous processing power and the ability to handle virtually limitless concurrent tasks or jobs.

The global hadoop big data analytics market is anticipated to grow at an impressive CAGR over the next few years.

Hadoop Big Data Analytics Market Drivers

The growth of this market is attributed towards major relying factors including; the growing volumes of data across various industries, the increasing global need and demand for big data analytics, the convergence of IoT and big data, the growing focus on digital transformation of organizations, increasing demand for a common unified platform for information storage, the growing adoption of smart payment technologies, rising need for information conversion by Internet of Things and big data by organizations for the purpose of decision making, the growing investments in analytics and the increasing investments in R&D activities to develop superior and efficient systems & control hubs by market players etc.

Additionally, real-time operational scrutiny by the industry participants to closely observe their daily operations predominantly to gain a competitive advantage over the competing companies and to gain a better insight into their strategies has given rise to big data. This is projected to further expand the Hadoop big data analytics market.

Moreover, Big Data analytics effectively help banking and financial firms in retaining more of their customers, by analyzing behavior and identifying patterns that lead to customer abandonment and also help in customer segmentation, experience analysis, credit risk assessment, and targeted services, which, in turn makes them highly desirable by these and other industries all across the globe.

Furthermore, factors such as increasing digitalization, number of data repositories with historic and current data, rising proliferation of IoT in various devices such as sensors, the growing trend towards visualization-based data discovery tools, the increasing use of raw data in market intelligence among SMEs as well as large enterprises and the increasing demand for analytics to drive business growth through technological innovative solutions will further fuel the growth of this market.

However, the non-uniformity of data, dearth in safety standards, the lack of appropriate big data regulatory framework, shortage of skilled personnel, lack of awareness and legal and security concerns are some factors that are hindering the growth of this market.

At this time, the Hadoop big data analytics market is expected to witness decline in its growth in 2020 due to the safety measures adopted in view of the COVID-19 outbreak. Lockdowns have been negatively impacting the global manufacturing, retail and ecommerce, government, and public sectors. With that said, the condition is expected to improve by early 2021, with the demand for Hadoop big data analytics solutions and services expected to increase owing to surging demand for remote health monitoring of individuals and assets, sales and customer management, predictive asset maintenance, energy management, and inventory management. Also, the requirement for real-time information to track and monitor the COVID-19 spread has augmented the growth of this market.


By Component

  • Solutions
  • Services
    • Managed Services
    • Professional Services
      • Deployment and Integration
      • Support and Maintenance
      • Consulting

By Deployment Mode

  • Cloud
  • On-premises

By Organization Size

  • Large Enterprises
  • Small and Medium-sized Enterprises (SMEs)

By Business Function

  • Marketing and Sales
  • Operations
  • Finance
  • Human Resources

By Vertical

  • BFSI
  • Transportation and Logistics
  • Retail and eCommerce
  • Manufacturing
  • Telecommunications and IT
  • Healthcare and Life Sciences
  • Government and Public Sector
  • Media and Entertainment
  • Travel and Hospitality
  • Energy and Utilities
  • Education and Research
  • Real Estate
  • Others

By Application

  • Risk & Fraud Analytics
  • Internet of Things (IoT)
  • Customer Analytics
  • Security Intelligence
  • Distributed Coordination Service
  • Merchandising & Supply Chain Analytics
  • Offloading Mainframe Application
  • Operational Intelligence
  • Linguistic Analytics
  • Other Applications

By Region: 

  • North America
  • Europe
  • Asia Pacific
  • Latin America
  • Middle East & Africa

Hadoop Big Data Analytics Market Regional Insight

The North American region is the leading regional market for hadoop big data analytics followed by Europe and is expected to bolster growth at a tremendous growth rate in the near future. The growth in this region can be attributed to the increasing deployment of Hadoop big data solutions by major IT enterprises in the region, the strong presence of Big Data analytics vendors in the region, the growth of new business insights, rising end-user friendly solutions, the fast-adoption of latest technologies in the region, the increasing number of technological advancements in the region, the presence of good cloud infrastructure and heavy investments in R&D initiatives etc. The major contributor in the region is The U.S.

The Asia Pacific region is the fastest growing regional market for hadoop big data analytics and is estimated to register growth at comprehensive growth rate in the forthcoming years owing to the increasing volume of data, the growing number of government initiatives, advancements in AI and big data technologies, growing concern regarding data integrity, the increasing demand for useful insights and rapid industrialization & urbanization etc. The major contributors in the region are India, China and Japan.

Hadoop Big Data Analytics Market Key Players

  • Google
  • SAS Institute
  • Tableau Software Inc.
  • Isaac and Company
  • Datameer Inc.
  • Platform Computing
  • Karmasphere Inc.
  • Greenplum Inc.
  • Hstreaming LLC
  • Zettaset Inc.
  • Amazon Web Services Inc.
  • Salesforce
  • TIBCO Software
  • Alteryx
  • Micro Focus
  • Kyvos Insight
  • Amlgo Labs
  • Qubole
  • Splunk
  • Dell Technologies
  • Teradata Corporation
  • Cloudera Inc.
  • DXC Technology Company
  • IBM Corporation
  • Microsoft Corporation
  • Pentaho Corporation
  • Hitachi Vantara
  • Huawei
  • Dremio
  • Imply
  • Starburst
  • Alluxio
  • TheMathCompany
  • Pivotal Software Inc.
  • SAP SE
  • Micro Strategy Incorporated
  • Marklogic Corporation
  • Oracle
  • Other Players


  • In December 2020, Telecom analytics solution provider Subex said it won a contract from Telefonica, one of the largest mobile network providers in the world, to provide the latest version of ROC Fraud Management. The company claimed that through ROC Fraud Management, Telefonica can leverage the solution’s Big Data Hadoop architecture to reduce fraud detection time, improve scalability, and ease integration with Telefonica’s local data lakes.
  • In December 2020, Information technology company Cognizant announced to acquire UK-based Inawisdom, a privately-held AI, machine-learning, and data analytics consultancy, for an undisclosed sum. A premier consulting partner of Amazon Web Services (AWS), Inawisdom would be further accelerating Cognizant's innovation on data modernisation and intelligent decision-making as per reports.

Timeline Considered for Analysis:

- 2021: Base Year

- 2022 to 2032: Forecast Period

Research Scope and Deliverables

Overview & Executive Summary

Market Drivers, Trends, Challenges and Opportunities

Market Size and Forecast Projections

Macroeconomic Indicators of Various Countries Impacting the Growth of the Market

Extensive Coverage of Industry Players including Recent Product Launches and Market Activities

Porter’s Five Force Analysis

Market Segmentation Analysis:

Industry report analyzes the global Hadoop big data analytics market by the following segments:

  • Component
  • Deployment Mode
  • Organization Size
  • Business Function
  • Vertical
  • Application

Customization: We also offers customization’s in the industry report as per the company’s specific needs.

Key Questions Answered in the Global Hadoop Big Data Analytics Industry Report

  • What is the overall market size in 2021? What will be the market growth during the forecast period i.e. 2022-2032?
  • Which region would have high demand for product in the upcoming years?
  • What are the factors driving the growth of the market?
  • Which sub-market will make the most significant contribution to the market?
  • What are the market opportunities for existing and entry-level players?
  • What are various long-term and short-term strategies adopted by the market players?

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  • Publication date: 19th January 2024
  • Base year: 2022
  • Forecast year: 2023-2033
  • Format: PDF, PPT,Word,Excel

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